Head of Engineering | Head of Data | Project Manager | Lead Data Scientist | Data Engineer |

Skills
Experienced in the development of machine and deep learning models in different stacks like Python, utilizing large volumes of sensor data, text data, and structured data. Extensive knowledge in data analysis through the evaluation of large datasets on platforms such as AWS, Azure or Google Cloud. Expertise in building data architectures, including automated data pipelines and microservices for end-to-end software solutions.

Methods and Technologies
Project Management: Scrum, Kanban
Data Science: Explorative Data Analysis, Data Visualization, Machine Learning, Deep Learning, Big Data, Data Mining, Time series, Forecasting, Text Mining, Clustering, Classifikation, Regression, Natural Language Processing, Computer Vision, Large Language Models
Consulting Skills: C-Level Presentations, Team Leadership, Lead Engineer, Stakeholder Management, Interim CTO, Commercial Due Diligence

Technical Skillset
Skills: Python, R, SQL, C++, JavaScript, TypeScript, Rust, Spark
Frameworks: NumPy, Pandas, Scikit-Learn, Tensorflow, Keras, PyTorch, Matplotlib, Seaborn, Plotly, nltk, XGBoost, Flask,Flask, R Shiny, Stable Diffusion
Databases: Microsoft SQL Server, Hadoop, PostgreSQL, BigQuery, Redshift
Development Environments: PyCharm, Spyder, Visual Studio Code, Jupyter, RStudio
Tools: AWS Cloud, Azure Cloud, Google Cloud, Jira, Confluence, GitLab, Docker
Systems: Windows, Linux

Industry Experience
Banking, Trading, Investment Services, Funds, Private Equity, Automotive, Fast Moving Consumer Goods, Energy, Pharmaceuticals, Health Tech

Certificates
Deep Learning Specialisation (deeplearning.ai)
Scrum (Scrum Master)
AWS Certified Developer